The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-28"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "44481667 (up from 43951086 yesterday: 1.21 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1174007 (up from 1166748 yesterday: 0.62 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 8325441

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.64



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8856413 78981 0.90 1306731 227685 994 0.44 2.57
India 8040203 49881 0.62 1204548 120527 517 0.43 1.50
Brazil 5468270 28629 0.53 467576 158456 510 0.32 2.90
Russia 1553028 15886 1.03 310770 26752 343 1.30 1.72
France 1280215 35973 2.89 586612 35823 241 0.68 2.80
Spain 1136503 19765 1.77 300602 35466 168 0.48 3.12
Argentina 1130533 13924 1.25 289618 30071 341 1.15 2.66
Colombia 1041936 8718 0.84 164252 NA NA NA NA
United Kingdom 945378 24714 2.68 398426 45765 310 0.68 4.84
Mexico 906863 5595 0.62 107675 90309 495 0.55 9.96
Peru 892497 1923 0.22 59568 34257 60 0.18 3.84
South Africa 719714 1863 0.26 34559 19111 58 0.30 2.66
Italy 589766 24988 4.42 255826 37905 205 0.54 6.43
Iran 588648 6824 1.17 104804 33714 415 1.25 5.73
Chile 505530 1005 0.20 31090 14032 6 0.04 2.78
Germany 486972 23553 5.08 175835 10259 138 1.36 2.11
Iraq 463951 4043 0.88 72907 10770 46 0.43 2.32
Bangladesh 403079 1493 0.37 29928 5861 23 0.39 1.45
Indonesia 400483 4029 1.02 84769 13612 100 0.74 3.40
Philippines 375180 2036 0.55 45543 7114 61 0.86 1.90
Ukraine 374023 7790 2.13 128325 6938 168 2.48 1.85
Turkey 368513 2305 0.63 39375 10027 77 0.77 2.72
Belgium 368337 34619 10.37 230469 11170 271 2.49 3.03
Saudi Arabia 346047 416 0.12 8336 5348 19 0.36 1.55
Pakistan 331108 908 0.27 14174 6775 16 0.24 2.05
Netherlands 326308 8156 2.56 170843 7265 61 0.85 2.23
Israel 312550 826 0.26 31069 2494 11 0.44 0.80
Poland 299049 18820 6.72 191730 4849 234 5.07 1.62
Czechia 297013 12980 4.57 201653 2675 128 5.03 0.90
Canada 228366 2663 1.18 52986 10084 32 0.32 4.42
Romania 222559 5343 2.46 79989 6681 107 1.63 3.00
Morocco 207718 3985 1.96 67694 3506 61 1.77 1.69
Ecuador 164908 1716 1.05 21377 12608 20 0.16 7.65
Nepal 162354 1954 1.22 68101 887 11 1.26 0.55
Bolivia 141321 197 0.14 3615 8694 22 0.25 6.15
Switzerland 135658 8616 6.78 77949 2158 11 0.51 1.59
Qatar 131939 250 0.19 4758 230 0 0.00 0.17
Panama 131247 825 0.63 13947 2663 13 0.49 2.03
United Arab Emirates 129024 1400 1.10 27184 485 3 0.62 0.38
Portugal 128392 3960 3.18 47136 2395 24 1.01 1.87
Dominican Republic 125570 562 0.45 9422 2232 6 0.27 1.78
Kuwait 123906 814 0.66 15163 763 7 0.93 0.62
Sweden 117913 2128 1.84 21236 5927 9 0.15 5.03
Oman 114434 614 0.54 10969 1208 5 0.42 1.06
Kazakhstan 111100 268 0.24 2646 1825 0 0.00 1.64
Egypt 107030 153 0.14 2995 6234 12 0.19 5.82
Costa Rica 106553 1231 1.17 23056 1340 11 0.83 1.26
Guatemala 106320 749 0.71 10616 3682 17 0.46 3.46
Japan 98877 731 0.74 11838 1731 5 0.29 1.75
Belarus 95545 936 0.99 14040 969 4 0.41 1.01
Honduras 95199 576 0.61 14183 2652 13 0.49 2.79
Ethiopia 94820 602 0.64 13925 1451 6 0.42 1.53
China 91271 49 0.05 584 4739 0 0.00 5.19
Venezuela 90876 476 0.53 10472 784 4 0.51 0.86
Austria 89496 3394 3.94 38648 1027 22 2.19 1.15
Armenia 82651 2241 2.79 28896 1243 21 1.72 1.50
Bahrain 81022 257 0.32 7090 317 1 0.32 0.39
Lebanon 75845 1850 2.50 27468 602 12 2.03 0.79
Moldova 73321 861 1.19 14527 1729 19 1.11 2.36
Uzbekistan 66141 260 0.39 6562 558 2 0.36 0.84
Hungary 65933 2291 3.60 32819 1578 43 2.80 2.39
Nigeria 62371 147 0.24 2633 1139 4 0.35 1.83
Jordan 61942 3087 5.25 41742 700 32 4.79 1.13
Paraguay 61290 733 1.21 14855 1359 12 0.89 2.22
Ireland 59434 667 1.13 19850 1896 6 0.32 3.19
Libya 58874 899 1.55 19361 823 11 1.35 1.40
Singapore 57987 7 0.01 147 28 0 0.00 0.05
Kyrgyzstan 57276 538 0.95 9179 1138 2 0.18 1.99
Algeria 57026 320 0.56 4506 1941 10 0.52 3.40
Tunisia 54278 1879 3.59 29736 1153 170 17.29 2.12
Azerbaijan 52137 988 1.93 11024 699 11 1.60 1.34
West Bank and Gaza 51948 420 0.82 9108 465 7 1.53 0.90
Kenya 51851 1018 2.00 11944 934 0 0.00 1.80
Burma 49072 1406 2.95 27639 1172 25 2.18 2.39
Slovakia 48943 2887 6.27 34254 184 8 4.55 0.38
Ghana 47775 0 0.00 946 316 0 0.00 0.66
Bulgaria 45461 2760 6.46 22718 1197 36 3.10 2.63
Bosnia and Herzegovina 44737 1586 3.68 15662 1161 36 3.20 2.60
Denmark 43685 1017 2.38 12484 715 6 0.85 1.64
Serbia 42208 1328 3.25 8015 803 5 0.63 1.90
Afghanistan 41145 113 0.28 1597 1529 6 0.39 3.72
Croatia 40999 2378 6.16 22552 493 23 4.89 1.20
Greece 34299 1547 4.72 13352 603 10 1.69 1.76
Georgia 33858 1731 5.39 24105 253 15 6.30 0.75
El Salvador 32925 0 0.00 3188 962 5 0.52 2.92
Malaysia 29441 801 2.80 15448 246 8 3.36 0.84
North Macedonia 28697 870 3.13 9284 963 14 1.48 3.36
Slovenia 28215 2612 10.20 21095 278 14 5.30 0.99
Australia 27565 12 0.04 359 907 0 0.00 3.29
Korea, South 26271 125 0.48 1849 462 1 0.22 1.76
Cameroon 21793 0 0.00 869 426 0 0.00 1.95
Cote d’Ivoire 20555 67 0.33 620 124 2 1.64 0.60
Albania 20040 311 1.58 5310 493 6 1.23 2.46
Norway 19069 403 2.16 4056 280 0 0.00 1.47
Kosovo 18626 683 3.81 2688 673 10 1.51 3.61
Montenegro 17392 301 1.76 4598 282 7 2.55 1.62
Madagascar 16968 0 0.00 335 244 0 0.00 1.44
Zambia 16285 42 0.26 1061 348 0 0.00 2.14
Luxembourg 15659 775 5.21 6540 147 0 0.00 0.94
Senegal 15582 11 0.07 408 322 0 0.00 2.07
Finland 15378 215 1.42 4329 354 0 0.00 2.30
Sudan 13765 18 0.13 97 837 0 0.00 6.08
Namibia 12806 77 0.60 1092 133 0 0.00 1.04
Mozambique 12415 142 1.16 2921 91 2 2.25 0.73
Lithuania 12138 776 6.83 6655 144 3 2.13 1.19
Guinea 11819 0 0.00 956 71 0 0.00 0.60
Uganda 11767 146 1.26 2507 106 3 2.91 0.90
Maldives 11591 24 0.21 935 37 0 0.00 0.32
Congo (Kinshasa) 11211 20 0.18 407 305 0 0.00 2.72
Tajikistan 10900 40 0.37 845 82 1 1.23 0.75
Angola 10074 203 2.06 4349 275 4 1.48 2.73

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 919276 4388 0.48 77348 17529 69 0.40 1.91 23265.61 443.63 1 in 43
Texas 911835 7066 0.78 108145 18162 101 0.56 1.99 31447.05 626.36 1 in 32
Florida 790426 4115 0.52 67719 16571 66 0.40 2.10 36802.11 771.54 1 in 27
New York 500677 2031 0.41 32409 33435 2 0.01 6.68 25737.04 1718.71 1 in 39
Illinois 393797 6110 1.58 83462 9889 51 0.52 2.51 31076.59 780.39 1 in 32
Georgia 355025 1653 0.47 28883 7876 32 0.41 2.22 33437.96 741.80 1 in 30
North Carolina 266136 2253 0.85 43167 4245 34 0.81 1.60 25375.08 404.75 1 in 39
Tennessee 254220 2446 0.97 46765 3241 34 1.06 1.27 37203.79 474.30 1 in 27
Arizona 241165 1043 0.43 18627 5905 14 0.24 2.45 31670.18 775.45 1 in 32
New Jersey 232997 1666 0.72 23147 16324 18 0.11 7.01 26231.93 1837.84 1 in 38
Wisconsin 210126 3815 1.85 71428 1897 45 2.43 0.90 36089.03 325.81 1 in 28
Pennsylvania 205852 2332 1.15 34325 8707 24 0.28 4.23 16079.69 680.13 1 in 62
Ohio 205347 2607 1.29 42624 5256 17 0.32 2.56 17567.39 449.65 1 in 57
Alabama 187706 1269 0.68 26288 2911 19 0.66 1.55 38282.46 593.70 1 in 26
Michigan 185934 3590 1.97 40842 7606 21 0.28 4.09 18617.87 761.60 1 in 54
Louisiana 181443 452 0.25 11346 5890 18 0.31 3.25 39030.12 1267.00 1 in 26
Missouri 177319 2189 1.25 39899 2884 29 1.02 1.63 28891.42 469.90 1 in 35
Virginia 176754 1968 1.13 23303 3616 21 0.58 2.05 20708.06 423.64 1 in 48
South Carolina 173491 912 0.53 19786 3876 34 0.88 2.23 33695.99 752.81 1 in 30
Indiana 169112 2548 1.53 40885 4227 33 0.79 2.50 25119.80 627.88 1 in 40
Massachusetts 154218 1181 0.77 17726 9924 36 0.36 6.44 22191.23 1428.02 1 in 45
Maryland 142425 684 0.48 13761 4115 7 0.17 2.89 23558.14 680.65 1 in 42
Minnesota 139444 1908 1.39 32793 2440 19 0.78 1.75 24725.73 432.65 1 in 40
Iowa 120635 2072 1.75 25542 1691 11 0.65 1.40 38235.28 535.96 1 in 26
Oklahoma 119152 743 0.63 24800 1286 13 1.02 1.08 30111.92 325.00 1 in 33
Mississippi 117617 1000 0.86 15376 3302 19 0.58 2.81 39519.86 1109.49 1 in 25
Utah 108803 1575 1.47 28357 588 10 1.73 0.54 33937.75 183.41 1 in 29
Arkansas 108640 961 0.89 19760 1875 18 0.97 1.73 35999.44 621.31 1 in 28
Washington 104743 716 0.69 13535 2353 16 0.68 2.25 13755.02 309.00 1 in 73
Kentucky 101494 1857 1.86 24907 1442 14 0.98 1.42 22717.42 322.76 1 in 44
Colorado 100185 1475 1.49 25286 2249 13 0.58 2.24 17397.05 390.54 1 in 57
Nevada 97479 571 0.59 14132 1762 10 0.57 1.81 31647.42 572.05 1 in 32
Kansas 79248 1361 1.75 16307 1001 18 1.83 1.26 27202.01 343.59 1 in 37
Connecticut 69127 490 0.71 9763 4604 9 0.20 6.66 19388.90 1291.34 1 in 52
Nebraska 66545 1169 1.79 17149 628 8 1.29 0.94 34400.71 324.65 1 in 29
Puerto Rico 63587 90 0.14 11819 813 5 0.62 1.28 19910.17 254.56 1 in 50
Idaho 61785 862 1.41 16032 599 14 2.39 0.97 34476.99 334.25 1 in 29
New Mexico 43826 657 1.52 12454 991 11 1.12 2.26 20901.08 472.62 1 in 48
Oregon 43228 420 0.98 7594 671 7 1.05 1.55 10249.10 159.09 1 in 98
South Dakota 42000 1270 3.12 16094 384 9 2.40 0.91 47475.92 434.07 1 in 21
North Dakota 39907 777 1.99 15050 488 12 2.52 1.22 52367.13 640.37 1 in 19
Rhode Island 31944 499 1.59 6168 1192 4 0.34 3.73 30154.03 1125.21 1 in 33
Montana 29966 620 2.11 13903 325 20 6.56 1.08 28037.63 304.09 1 in 36
Delaware 24392 143 0.59 2842 688 2 0.29 2.82 25049.19 706.54 1 in 40
West Virginia 23067 357 1.57 5917 438 4 0.92 1.90 12907.16 245.08 1 in 77
District of Columbia 16973 67 0.40 1321 644 0 0.00 3.79 24049.63 912.51 1 in 42
Alaska 15155 357 2.41 6277 71 1 1.43 0.47 20716.43 97.05 1 in 48
Hawaii 14834 61 0.41 1789 213 -2 -0.93 1.44 10476.94 150.44 1 in 95
Wyoming 12146 340 2.88 5247 77 0 0.00 0.63 20986.28 133.04 1 in 48
New Hampshire 10641 111 1.05 1910 478 3 0.63 4.49 7825.93 351.55 1 in 128
Maine 6386 77 1.22 783 146 0 0.00 2.29 4750.74 108.61 1 in 210
Vermont 2120 7 0.33 293 58 0 0.00 2.74 3397.50 92.95 1 in 294

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 18223596 919276 5.04 2666890 77348 2.90 461214.1
2 Texas 7933477 911835 11.49 1269037 108145 8.52 273607.0
3 Florida 9774192 790426 8.09 4314481 67719 1.57 455084.8
4 New York 14075518 500677 3.56 2573889 32409 1.26 723544.6
5 Illinois 7463755 393797 5.28 1427727 83462 5.85 589004.1
6 Georgia 3495407 355025 10.16 437220 28883 6.61 329214.2
7 North Carolina 3923042 266136 6.78 687769 43167 6.28 374047.5
8 Tennessee 3608613 254220 7.04 546070 46765 8.56 528102.0
9 Arizona 1731447 241165 13.93 212753 18627 8.76 227376.4
10 New Jersey 4523611 232997 5.15 741801 23147 3.12 509290.0
11 Wisconsin 2016720 210126 10.42 377223 71428 18.94 346370.6
12 Pennsylvania 2469920 205852 8.33 335826 34325 10.22 192932.5
13 Ohio 4314037 205347 4.76 855168 42624 4.98 369064.9
14 Alabama 1320306 187706 14.22 139488 26288 18.85 269275.2
15 Michigan 4748002 185934 3.92 868367 40842 4.70 475425.0
16 Louisiana 2738401 181443 6.63 310486 11346 3.65 589056.2
17 Missouri 2454427 177319 7.22 495966 39899 8.04 399911.3
18 Virginia 2563313 176754 6.90 393000 23303 5.93 300311.3
19 South Carolina 1753781 173491 9.89 343185 19786 5.77 340625.1
20 Indiana 2783748 169112 6.07 1342831 40885 3.04 413496.3
21 Massachusetts 5865571 154218 2.63 1387440 17726 1.28 844027.4
22 Maryland 3333562 142425 4.27 1649658 13761 0.83 551395.7
23 Minnesota 2713077 139444 5.14 517195 32793 6.34 481073.4
24 Iowa 873362 120635 13.81 77305 25542 33.04 276812.2
25 Oklahoma 1575866 119152 7.56 285243 24800 8.69 398250.6
26 Mississippi 881604 117617 13.34 74708 15376 20.58 296223.1
27 Utah 1052059 108803 10.34 170619 28357 16.62 328157.5
28 Arkansas 1312942 108640 8.27 225271 19760 8.77 435062.3
29 Washington 2362595 104743 4.43 401528 13535 3.37 310259.8
30 Kentucky 1831369 101494 5.54 350038 24907 7.12 409915.6
31 Colorado 1892949 100185 5.29 433617 25286 5.83 328709.1
32 Nevada 798250 97479 12.21 77741 14132 18.18 259159.0
33 Kansas 633033 79248 12.52 83635 16307 19.50 217289.7
34 Connecticut 2235373 69127 3.09 483328 9763 2.02 626982.6
35 Nebraska 577023 66545 11.53 91029 17149 18.84 298294.4
37 Idaho 375400 61785 16.46 53606 16032 29.91 209479.0
38 New Mexico 1129419 43826 3.88 168485 12454 7.39 538631.9
39 Oregon 841049 43228 5.14 122481 7594 6.20 199407.6
40 South Dakota 251296 42000 16.71 42516 16094 37.85 284059.7
41 North Dakota 804167 39907 4.96 149519 15050 10.07 1055251.4
42 Rhode Island 1091988 31944 2.93 253506 6168 2.43 1030798.8
43 Montana 484470 29966 6.19 108294 13903 12.84 453293.4
44 Delaware 344939 24392 7.07 45766 2842 6.21 354232.7
45 West Virginia 748959 23067 3.08 145614 5917 4.06 419080.8
46 District of Columbia 505407 16973 3.36 92751 1321 1.42 716128.5
47 Alaska 580599 15155 2.61 90525 6277 6.93 793661.4
48 Hawaii 512612 14834 2.89 204335 1789 0.88 362046.8
49 Wyoming 125832 12146 9.65 17987 5247 29.17 217416.9
50 New Hampshire 595707 10641 1.79 119193 1910 1.60 438113.0
51 Maine 603303 6386 1.06 127554 783 0.61 448815.4
52 Vermont 187037 2120 1.13 19016 293 1.54 299744.1

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1648665 0 0 1470660 89.20 134137 43348 0 0 2.63
Andhra Pradesh 808924 0 0 773548 95.63 28770 6606 0 0 0.82
Karnataka 805947 0 0 719558 89.28 75423 10947 0 0 1.36
Tamil Nadu 711713 0 0 671489 94.35 29268 10956 0 0 1.54
Uttar Pradesh 472068 0 0 438512 92.89 26654 6902 0 0 1.46
Kerala 397218 0 0 302017 76.03 93745 1353 0 0 0.34
Delhi 359488 0 0 327390 91.07 25786 6312 0 0 1.76
West Bengal 353822 0 0 310086 87.64 37190 6546 0 0 1.85
Odisha 282695 0 0 266105 94.13 15278 1312 0 0 0.46
Telangana 231834 0 0 211912 91.41 18611 1311 0 0 0.57
Bihar 212705 0 0 202007 94.97 9639 1058 0 0 0.50
Assam 204386 0 0 188584 92.27 14891 908 0 0 0.44
Rajasthan 188048 0 0 169962 90.38 16233 1853 0 0 0.99
Chhattisgarh 177608 0 0 153654 86.51 22093 1861 0 0 1.05
Gujarat 168081 0 0 150750 89.69 13638 3693 0 0 2.20
Madhya Pradesh 167969 0 0 154222 91.82 10857 2890 0 0 1.72
Haryana 159457 0 0 147566 92.54 10154 1737 0 0 1.09
Punjab 131391 0 0 123047 93.65 4219 4125 0 0 3.14
Jharkhand 99906 0 0 93368 93.46 5666 872 0 0 0.87
Jammu and Kashmir 92225 0 0 83485 90.52 7296 1444 0 0 1.57
Uttarakhand 60744 0 0 55188 90.85 4080 1001 0 0 1.65
Goa 42532 0 0 39433 92.71 2517 582 0 0 1.37
Puducherry 34336 0 0 29990 87.34 3758 588 0 0 1.71
Tripura 30254 0 0 28046 92.70 1845 340 0 0 1.12
Himachal Pradesh 20586 0 0 17760 86.27 2508 288 0 0 1.40
Manipur 17424 0 0 13057 74.94 4223 144 0 0 0.83
Arunachal Pradesh 14391 0 0 12182 84.65 2174 35 0 0 0.24
Chandigarh 14085 0 0 13230 93.93 633 222 0 0 1.58
Meghalaya 9020 0 0 7332 81.29 1604 81 0 0 0.90
Nagaland 8663 0 0 6720 77.57 1833 27 0 0 0.31
Ladakh 5978 0 0 5216 87.25 691 71 0 0 1.19
Andaman and Nicobar Islands 4253 0 0 3997 93.98 198 58 0 0 1.36
Sikkim 3840 0 0 3448 89.79 245 65 0 0 1.69
Dadra and Nagar Haveli and Daman and Diu 3226 0 0 3147 97.55 51 2 0 0 0.06
Mizoram 2493 0 0 2209 88.61 284 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2808259 170526 7558 4.64 6.07 3072 292 61406 17357 10.18
Piemonte 984720 62445 2827 4.74 6.34 2237 135 25787 4305 6.89
Emilia-Romagna 1531311 50494 1212 2.46 3.30 999 119 18230 4593 9.10
Veneto 2275869 49135 2143 4.56 2.16 708 90 21600 2355 4.79
Campania 901583 45782 2427 5.60 5.08 1235 160 34886 624 1.36
Lazio 1361332 39892 1963 5.18 2.93 1669 166 27946 1158 2.90
Toscana 1041270 36992 1708 4.84 3.55 857 130 22360 1297 3.51
Liguria 424986 25523 926 3.76 6.01 878 46 7478 1733 6.79
Sicilia 662150 19033 708 3.86 2.87 787 111 12188 459 2.41
Puglia 537592 16353 772 4.95 3.04 690 70 9437 699 4.27
Marche 310091 12409 351 2.91 4.00 250 32 4526 1008 8.12
Abruzzo 276681 9193 434 4.95 3.32 306 26 5029 534 5.81
Friuli Venezia Giulia 521139 9142 406 4.65 1.75 146 35 3732 382 4.18
Sardegna 257266 8526 362 4.43 3.31 298 37 5348 205 2.40
P.A. Trento 280137 8353 191 2.34 2.98 94 6 1767 432 5.17
Umbria 286380 8273 401 5.09 2.89 255 37 4999 114 1.38
P.A. Bolzano 225141 7187 190 2.72 3.19 181 15 3921 304 4.23
Calabria 266246 4400 196 4.66 1.65 120 11 2504 111 2.52
Valle d’Aosta 39314 2803 77 2.82 7.13 107 7 1430 157 5.60
Basilicata 99466 1901 120 6.74 1.91 73 7 1184 47 2.47
Molise 61105 1404 19 1.37 2.30 19 4 699 31 2.21

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 102814 929 0.91 6189 17 0.28 6.02 12042.39 724.90 1 in 83
Ontario 75665 798 1.07 3159 6 0.19 4.17 5143.14 214.73 1 in 194
Alberta 26565 410 1.57 313 4 1.29 1.18 6019.52 70.92 1 in 166
British Columbia 13875 287 2.11 261 2 0.77 1.88 2714.78 51.07 1 in 368
Manitoba 4701 169 3.73 61 3 5.17 1.30 3412.66 44.28 1 in 293
Saskatchewan 2908 67 2.36 25 0 0.00 0.86 2460.93 21.16 1 in 406
Nova Scotia 1102 0 0.00 65 0 0.00 5.90 1127.42 66.50 1 in 887
New Brunswick 337 3 0.90 6 0 0.00 1.78 432.06 7.69 1 in 2315
Newfoundland and Labrador 291 0 0.00 4 0 0.00 1.37 558.15 7.67 1 in 1792
Prince Edward Island 64 0 0.00 0 0 NaN 0.00 404.66 0.00 1 in 2471
Yukon 22 0 0.00 0 0 NaN 0.00 535.57 0.00 1 in 1867
Northwest Territories 9 0 0.00 0 0 NaN 0.00 200.43 0.00 1 in 4989

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5310 105 1.98
Guangdong 1914 8 0.42
Henan 1284 22 1.71
Zhejiang 1283 1 0.08
Shanghai 1155 7 0.61
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 949 13 1.37
Xinjiang 947 3 0.32
Beijing 942 9 0.96
Jiangxi 935 1 0.11
Shandong 846 7 0.83
Sichuan 737 3 0.41
Jiangsu 672 0 0.00
Chongqing 589 6 1.02
Shaanxi 454 3 0.66
Fujian 432 1 0.23
Hebei 372 6 1.61
Inner Mongolia 287 1 0.35
Liaoning 283 2 0.71
Tianjin 263 3 1.14
Guangxi 260 2 0.77
Shanxi 212 0 0.00
Yunnan 211 2 0.95
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 27067.28 695.86 1 in 37
India 6004.63 90.01 1 in 167
Brazil 26126.47 757.08 1 in 38
Russia 10747.60 185.13 1 in 93
France 19110.54 534.75 1 in 52
Spain 24357.12 760.09 1 in 41
Argentina 25537.23 679.26 1 in 39
Colombia 21233.67 NA 1 in 47
United Kingdom 14229.05 688.82 1 in 70
Mexico 7019.06 698.99 1 in 142
Peru 27743.15 1064.87 1 in 36
South Africa 12688.89 336.94 1 in 79
Italy 9751.42 626.74 1 in 103
Iran 7252.93 415.40 1 in 138
Chile 28007.20 777.40 1 in 36
Germany 5882.01 123.92 1 in 170
Iraq 12123.10 281.42 1 in 82
Bangladesh NA NA 1 in NA
Indonesia 1516.98 51.56 1 in 659
Philippines 3576.55 67.82 1 in 280

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 303369 7040 2.32
Miami-Dade Florida 183996 3625 1.97
Cook Illinois 181108 5450 3.01
Harris Texas 160532 2791 1.74
Maricopa Arizona 155951 3559 2.28
Dallas Texas 94837 1235 1.30
Broward Florida 84983 1520 1.79
Clark Nevada 80104 1506 1.88
Queens New York 76696 7293 9.51
Kings New York 75169 7390 9.83
Riverside California 67299 1305 1.94
Tarrant Texas 65368 821 1.26
Bexar Texas 65222 1407 2.16
San Bernardino California 63850 1073 1.68
Orange California 59213 1467 2.48
San Diego California 55540 881 1.59
Bronx New York 55354 4988 9.01
Palm Beach Florida 51415 1568 3.05
Nassau New York 49663 2208 4.45
Suffolk New York 48998 2019 4.12
Hillsborough Florida 47596 782 1.64
Salt Lake Utah 46672 303 0.65
Orange Florida 45755 549 1.20
Philadelphia Pennsylvania 43740 1867 4.27
El Paso Texas 43425 601 1.38
Wayne Michigan 40861 3052 7.47
Milwaukee Wisconsin 40609 582 1.43
Westchester New York 40438 1470 3.64
Shelby Tennessee 37111 570 1.54
New York New York 36076 3195 8.86
Hidalgo Texas 35485 1940 5.47
Hennepin Minnesota 34988 995 2.84
Duval Florida 34727 515 1.48
Kern California 34027 420 1.23
Mecklenburg North Carolina 33779 387 1.15
Franklin Ohio 33084 643 1.94
Prince George’s Maryland 32648 859 2.63
Davidson Tennessee 32483 346 1.07
Travis Texas 31851 449 1.41
Middlesex Massachusetts 31808 2265 7.12
Fulton Georgia 31220 620 1.99
Fresno California 31096 439 1.41
Gwinnett Georgia 30596 445 1.45
St. Louis Missouri 30566 886 2.90
Utah Utah 28681 80 0.28
Suffolk Massachusetts 28152 1173 4.17
Pima Arizona 27962 636 2.27
King Washington 26789 814 3.04
Marion Indiana 26448 794 3.00
Sacramento California 25750 496 1.93
Oakland Michigan 25563 1237 4.84
Montgomery Maryland 25562 870 3.40
Pinellas Florida 25534 818 3.20
Bergen New Jersey 24890 2061 8.28
Santa Clara California 24558 402 1.64
Essex New Jersey 24455 2142 8.76
Cameron Texas 24150 1081 4.48
Oklahoma Oklahoma 23997 231 0.96
DuPage Illinois 23780 615 2.59
Jefferson Alabama 23769 383 1.61
Fairfax Virginia 23648 605 2.56
Essex Massachusetts 23642 1343 5.68
Alameda California 23576 462 1.96
Providence Rhode Island 23320 951 4.08
Fairfield Connecticut 23280 1435 6.16
Lee Florida 23195 510 2.20
Hudson New Jersey 22956 1528 6.66
Polk Florida 22852 615 2.69
Jefferson Kentucky 22551 360 1.60
Douglas Nebraska 22381 220 0.98
Middlesex New Jersey 22111 1445 6.54
Cobb Georgia 21977 457 2.08
Tulsa Oklahoma 21922 204 0.93
San Joaquin California 21906 490 2.24
Lake Illinois 21373 514 2.40
Nueces Texas 21247 442 2.08
DeKalb Georgia 21231 398 1.87
Wake North Carolina 21145 270 1.28
Passaic New Jersey 20775 1261 6.07
Cuyahoga Ohio 20741 686 3.31
Baltimore Maryland 20510 666 3.25
Union New Jersey 20106 1372 6.82
Polk Iowa 19440 289 1.49
Will Illinois 19141 430 2.25
Macomb Michigan 18829 1088 5.78
Contra Costa California 18817 243 1.29
Jefferson Louisiana 18726 585 3.12
Denver Colorado 18256 450 2.46
Collin Texas 18015 180 1.00
Lubbock Texas 18015 174 0.97
Rockland New York 17943 683 3.81
Hamilton Ohio 17917 346 1.93
Hartford Connecticut 17783 1474 8.29
Stanislaus California 17760 399 2.25
Tulare California 17678 288 1.63
Baltimore City Maryland 17664 502 2.84
Greenville South Carolina 17606 348 1.98
Fort Bend Texas 17585 308 1.75
Kane Illinois 17421 348 2.00
Richmond New York 17252 1095 6.35

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc